Essays on efficiency and international tourism

RESUMEN: Esta tesis doctoral consta de tres ensayos sobre la economía del turismo. En el primer y tercer ensayo se realiza un análisis de eficiencia turística de las regiones españolas y de los factores que pueden estar determinando su evolución. En el segundo ensayo se hace una profunda revisión bibliográfica sobre la literatura que analiza la eficiencia turística a nivel mundial. El período de análisis abarca desde la última mitad del siglo XX (entre 1978 en el caso del estudio de la bibliografía turística, año en el que Charnes, Cooper y Rhodes introducen el Análisis Envolvente de Datos) hasta el periodo más reciente de nuestra economía (2018 en el tercer ensayo). En los dos ensayos que analizan la eficiencia turística en España el periodo comprende desde inicios del siglo XXI (2008 en el caso de la eficiencia de los destinos turísticos españoles) hasta los datos más actuales disponibles en este momento.ABSTRACT: This doctoral thesis consists of three essays on the economics of tourism. In the first and third essay an analysis of tourist efficiency of the Spanish regions and of the factors that may be determining their evolution is carried out. In the second essay, an in-depth bibliographical review is done on the literature that analyzes tourism efficiency worldwide. The analysis period covers from the last half of the twentieth century (between 1978 in the case of the study of the tourist bibliography, year in which Charnes, Cooper and Rhodes introduce the Data Envelope Analysis) until the most recent period of our economy ( 2018 in the third essay). In the two essays that analyze tourism efficiency in Spain, the period ranges from the beginning of the 21st century (2008 in the case of the efficiency of Spanish tourist destinations) to the most current data available at this time

Nonparametric efficiency and productivity change measurement of banks with corporate social responsibilities : the case for Ghana

This thesis has twofold objectives. The first is to develop a framework based on the existing theory and method of Data Envelopment Analysis (DEA) for measuring performance of financial firms that have the dual goals of profit maximisation and Corporate Social Responsibilities (CSRs). The second is to examine the impact of banking regulatory reforms including bank ownership, specialisation, and capitalisation types on the average efficiency and frontier differences of banking subgroups. The objectives are achieved using the standard DEA, the metafrontier analysis and the global frontier differences (GFD). DEA can handle multidimensional inputs and outputs without specifying specific functional forms. CSR is conceptually justified and modelled as an additional output into the banking intermediation approach. Two DEA models, one with CSR and another without CSR are measured and compared. Parametric and nonparametric tests and regressions are utilised to support, empirically, the relevance of CSR in bank performance evaluation. Do foreign banks outperform private-domestic and state banks? Should banks diversify their products or focus in narrow range of products and services? Are listed banks more efficient than non-listed banks? The second part of the thesis contributes to the extant literature by answering these questions using the metafrontier analysis and the GFD to provide new evidence on the effect that the entry of foreign and private-domestic banks, universal banking and listing of banks on the stock market, have on bank performance. Banks are segmented into groups based on their bank-specific attributes and their average efficiencies and bestpractice differences compared. Relevant policy recommendations are drawn from the analysis for both the banking regulator and bank management. The final methodological contribution extends the GFD by defining a further decomposition of the global frontier shift, into components that indicate whether an observation is situated in a more or less favourable location in the production possibility set. Consequently, a four-factor “Newly-decomposed Malmquist productivity change index” is proposed. The index and its decompositions have potentially interesting policy implications, which are illustrated using the empirical data on Ghanaian banks. The index is in the spirit of the standard Malmquist index but the intuition is that some components can be used to draw conclusions about productivity changes for a whole population of firms whilst others determine whether individual firms are in favourable locations and/or moving towards locations that are more favourable over time. More importantly, arguably, a listed, universal or foreign bank can be located in a favourable position and move towards location that is more favourable by virtue of its bank-specific attributes or by contributing more towards CSR. These factors are explored and policy measures prescribed in the final contribution of the thesis

Essays on the measurement of school efficiency

Measuring school efficiency is a challenging task. First, a performance measurement technique has to be selected. Within Data Envelopment Analysis (DEA), one such technique, alternative models have been developed in order to deal with environmental variables. The majority of these models lead to diverging results. Second, the choice of input and output variables to be included in the efficiency analysis is often dictated by data availability. The choice of the variables remains an issue even when data is available. As a result, the choice of technique, model and variables is probably, and ultimately, a political judgement. Multi-criteria decision analysis methods can help the decision makers to select the most suitable model. The number of selection criteria should remain parsimonious and not be oriented towards the results of the models in order to avoid opportunistic behaviour. The selection criteria should also be backed by the literature or by an expert group. Once the most suitable model is identified, the principle of permanence of methods should be applied in order to avoid a change of practices over time. Within DEA, the two-stage model developed by Ray (1991) is the most convincing model which allows for an environmental adjustment. In this model, an efficiency analysis is conducted with DEA followed by an econometric analysis to explain the efficiency scores. An environmental variable of particular interest, tested in this thesis, consists of the fact that operations are held, for certain schools, on multiple sites. Results show that the fact of being located on more than one site has a negative influence on efficiency. A likely way to solve this negative influence would consist of improving the use of ICT in school management and teaching. Planning new schools should also consider the advantages of being located on a unique site, which allows reaching a critical size in terms of pupils and teachers. The fact that underprivileged pupils perform worse than privileged pupils has been public knowledge since Coleman et al. (1966). As a result, underprivileged pupils have a negative influence on school efficiency. This is confirmed by this thesis for the first time in Switzerland. Several countries have developed priority education policies in order to compensate for the negative impact of disadvantaged socioeconomic status on school performance. These policies have failed. As a result, other actions need to be taken. In order to define these actions, one has to identify the social-class differences which explain why disadvantaged children underperform. Childrearing and literary practices, health characteristics, housing stability and economic security influence pupil achievement. Rather than allocating more resources to schools, policymakers should therefore focus on related social policies. For instance, they could define pre-school, family, health, housing and benefits policies in order to improve the conditions for disadvantaged children

Oil price and bank performance in the Middle Eastern oil exporting countries

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityBanks as the most evident financial institutions which provide a range of financial services in their primary role as intermediary from lenders and borrowers of money to sophisticated tools concerned with credit and liquidity provision, risk management and remittance of funds play a vital role in the economy of countries. Measuring the performance of banks, and identifying the factors which impact it, is an issue of major interest for regulators, policy makers, stakeholders, investors and the general public. Oil price movement as an external factor influencing the performance of banks, may affect macroeconomic events which, in turn, influence cash flows significantly in the finance and banking industry. Examining the performance of banks and how oil price movement impact their performance significantly those operating in oil exporting countries, is of interest of bank managers and policy makers. It will help top level managers of banks to be aware of relationship between oil price movement and the performance of their banks and will help them in formulating better policies and strategies in taking on opportunities and avoiding possible risks which this movement may cause. Moreover, it will help policy makers in oil exporting countries to understand how the banking industry of an oil exporting country can reap benefits from economic booms as a consequence of an increase in the price of oil. Therefore, this thesis attempts to investigate the impact of oil price movement on the performance of banks under different operational styles in oil exporting countries. The sample is consisting of 98 commercial, investment and Islamic banks in eight Middle Eastern oil exporting (MEOE) countries during the period 2000-2011. The research applies a two-stage Data Envelopment Analysis to examine the impact of oil price movement on performance of banks. In the first stage, four different efficiency scores of banks operating in the MEOE countries are derived and compared. The empirical results suggest that overall, MEOE banking industries mostly suffer from poor usage of and mal-location of resources by management to produce outputs, rather than a failure in operating at the most productive scale. A low level of overall technical efficiency in the MEOE banking industry means that management has poor skills in controlling operating expenses, marketing activities, absorbing deposits and the monitoring and effective screening of borrowers. In the second stage, to find out the impact of oil price movement on the performance of banks, technical efficiency scores obtained from the first stage are regressed over the oil price movement variable and environmental variables. The empirical results show that while oil revenue impacts the efficiency of the banks directly, positive oil price shocks impact efficiency of banks indirectly, and through inflation and economic growth. These findings suggest that when there is an increase in the price of oil, banks operating in oil exporting countries will derive benefit from the surplus income injected into the economy and their performance will be enhanced

Sustainability and Related Factors of High Speed Railways

High-Speed Railways (HSR), which represent a safe and sustainable mode of transportation, provide access and mobility for the society, and support the growth of the economy in addition to creating new jobs, supporting welfare, and promoting local business activities. This research addresses the shortage of knowledge in evaluating the performance of selected HSR systems and in distinguishing the factors that contribute to the sustainable performance of HSRs. The aim of this study is to evaluate the sustainability of selected HSRs and identify factors that affect such sustainability. The objectives of this research are to evaluate productivity, technical and technological efficiency of the selected HSRs, define the factors that can affect productivity and efficiency scores and make suggestions for improving the sustainability of HSRs. The secondary data methodology has been used, supported by empirical evidence. Most of the data was gathered from the Internet, research in depth of the high-speed railways in the selected countries, and International Union of Railway’s websites in addition to analysing railway statistics and data from European and institutional publications. This includes the use of a multi-stage approach of applying three specialised software packages, namely, NVivo, DEA, and ISM SPSS. The main findings show that HSRs in Asia has higher productivity and higher efficiency scores than that of HSRs in Europe. The research found that the key factors among all the identified factors that affected the productivity and efficiency of HSRs are; density of population, average traction power of HSR trains, average time that passengers spend on trains and average distance that passengers travel on the HSR. The findings of this research can help develop strategic guidelines to improve the performance and, by the result, the sustainability of HSRs. The recommendations are drawn for more research expansion, including the consideration of other HSRs, particularly their best practices

A novel application of data envelopment analysis and production trade-offs for efficiency evaluation of banking institutions : the case for Pakistan

A growing body of empirical literature has attempted to measure the efficiency of banking sector using Data Envelopment Analysis (DEA) by focusing on different aspects of banking services. However, standard DEA models often fail to sufficiently discriminate between efficiency scores of banks particularly with small sample size. Moreover, sometimes knowledge about different banking operations is available that needs to be incorporated in the evaluation method to assess their impact on the performance of banks. This research deals with the efficiency evaluation of banking sector through DEA based on additional information about multiple banking operations without which efficiency is generally overestimated. The main objective of this thesis is to develop a better informed DEA model that is capable of incorporating additional information about different bank specific characteristics by overcoming the problem of poor discrimination. For this purpose, the current study has proposed a novel methodological integration of DEA with production trade-offs in banking context and named it “DEATOB Framework”. This framework is universal in nature and can be applied to banking sectors of other countries. The study also aims to provide the empirical application of DEATOB Framework for which a sample of 29 commercial banks of Pakistan is selected. The results indicate that this framework evaluates banks on the basis of additional characteristics and provides better discrimination between good and bad performers as compared to the standard DEA model. The final objective is to extend the proposed framework to other banking models. For this purpose, the profitability model is chosen considering the profit maximization goal of banks and a separate PDEATOB Framework is developed. An empirical application of this framework is also provided to demonstrate its workability. This thesis also provides an insight on scale efficiency and relationship of efficiency with the banks size and ownership after application of the proposed frameworks

A longitudinal analysis of port systems in asia

Ph.DDOCTOR OF PHILOSOPH

Inter-Port Competition and Inland Container Transport: A multiple Criteria Decision-Making Approach to Achieve Intermodal Transport System Development Stratergies in Taiwan.

Merged with duplicate record 10026.1/2833 on 10.04.2017 by CS (TIS)Inland container transport has intensified over the past thirty years in Taiwan. It is closely related to inter-port competition and port selection by container carriers. In the 1980's, large containerships only berthed at Kaohsiung port due to the limit of container terminal operation capacities of Keelung port and the carrier's regional hub port decision in the country region. The container traffic of the south-north motorways made them more crowded and increased road maintenance expenses. The purpose of this research is to study inter-port competition and inland container transport flows in Taiwan. Although Taiwan is an island, the freight transport policy has been focused on rail and motorway rather than sea transportation. Therefore, it is intended to study the contexts of inland container traffic flows and the inter-port competition model. Following from this, the main objectives are to understand the details of container ports in order to identify the major criteria and variables related to the development of the intermodal freight transport system and then to create an integrated decisionmaking process model as a framework to help the public sector make quality decisions. We designed, tested and evaluated a public involvement process that identified public values for use in the development of an intermodal transport system for the container port. The methodology of this research includes the development of a Multiple Criteria Decision-Making (MCDM) model based on the Analytic Hierarchy Process (AHP) and validated by the use of priority setting for the intermodal transport system at Kaohsiung port as a case study. The main idea behind mathematical programming is the optimal selection of a set of research activities given limited resource availability, decision constraints and the pursuit of multiple objectives. A final model addresses the simultaneous analysis of the selection process clearly able to be traced back by all parties. This research developed a framework that will enable the public sector to make better decisions when selecting intermodal transport system proposals and also save decision-makers time and effort

New Developments in Renewable Energy

Renewable energy is defined as the energy which naturally occurs, covers a number of sources and technologies at different stages, and is theoretically inexhaustible. Renewable energy sources such as those who are generated from sun or wind are the most readily-available and possible solutions to address the challenge of growing energy demands in the world. Newer and environmentally friendly technologies are able to provide different social and environmental benefits such as employment and decent environment. Renewable energy technologies are crucial contributors to world energy security, reduce reliance on fossil fuels, and provide opportunities for mitigating greenhouse gases. International public opinion indicates that there is strong support for a variety of methods for solving energy supply problems, one of which is utilizing renewable energy sources. In recent years, countries realized that that the renewable energy and its sector are key components for greener economies